Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
About the role
- Data Engineer building and enhancing a modern Data Lake architecture on AWS for game analytics and event tracking. Collaborating with multiple teams for data analysis and reporting.
Responsibilities
- You will build and continuously develop our modern Data Lake architecture on AWS (S3, Glue, Athena, Iceberg).
- You will design and implement scalable ETL/ELT pipelines using Apache Airflow, dbt and Apache Spark to process large volumes of data — from real-time events to structured storage following a medallion architecture.
- You will design and implement a comprehensive game analytics and event-tracking system for our gaming platform (Spawn Engine, G-RGS) to capture player behavior, game performance and business KPIs in real time.
- You will implement extensive data quality checks with dbt tests and Great Expectations, as well as monitoring solutions to ensure data quality and availability.
- You will work closely with our teams (backend, frontend, statistics, math, finance) to provide high-performance data analyses and reports.
- You will optimize queries and data storage for cost-efficient, high-performance analytics workloads and automate data processing with Infrastructure as Code (IaC).
Requirements
- You have a degree in computer science or an equivalent qualification.
- You have at least 3–4 years of professional experience in data engineering or a related field.
- You have excellent skills in Python (pandas, pyarrow, boto3).
- You bring solid experience with cloud platforms (ideally AWS) and modern data lake technologies.
- You have worked with message queues (RabbitMQ) and workflow orchestration (Airflow or similar tools).
- You are familiar with columnar file formats (Parquet) and modern table formats (Apache Iceberg, Delta Lake).
- Ideally, you have experience with dbt, Spark or comparable data transformation tools and with visualization tools like Tableau or Metabase.
- You have a good understanding of data modeling, partitioning strategies and performance optimization.
- You are open to AI technologies and are willing to take responsibility for our internal AI systems and their further development.
- Ideally, you have experience in the gaming industry and understand the specifics of gaming data and metrics.
- You are strong in communication and empathetic when interacting with different personalities.
- You have a high degree of self-organization and self-reflection for working within a hybrid, collaborative work model.
- You have a can-do mentality and are enthusiastic about driving things forward.
- You are characterized by an independent working style and define quality as a success factor.
- You write and speak very good German (C1) and good English.
Benefits
- Lived company values in a collaborative working environment.
- Sustainable company growth.
- Hybrid work model: maximum flexibility regarding working hours and workplace.
- Well-equipped office in Berlin-Mitte as a centrally located meeting place.
- A warm welcome through an intensive, structured onboarding.
- Learning & Development through the GAMOcademy.
- Annual development review and targeted development measures.
- Health care – company health insurance, mental health platform & bike leasing.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.
Data Engineer role focused on shaping future connectivity for customers at Vodafone. Involves solving complex challenges in a diverse and inclusive environment.
VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
Data Engineer responsible for architecting, developing, and maintaining Allegiant’s enterprise data infrastructure. Overseeing transition to cloud hosted data warehouse and developing next - generation data tools.
Senior Data Engineer developing Azure - based data solutions for clients in the Data & AI department. Collaborating with architects and consultants to enhance automated decision making.
Data Engineer II focusing on strategic ingestion product for Travelers. Building data solutions and collaborating across teams to support analytic transformation.
Data Engineer at Tatum focusing on scalable data solutions and blockchain technology. Collaborating with teams to ensure data integrity and manage data infrastructure in a hybrid setup.